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How does the concept “garbage collector” affect a program’s scalability?(1 point) Responses Memory management does not impact s...Question
How does the concept “garbage collector” affect a program’s scalability?(1 point)
Responses
Memory management does not impact scalability.
Memory management does not impact scalability.
The “garbage collector” (or memory management) idea is not a valid concept.
The “garbage collector” (or memory management) idea is not a valid concept.
The concept of scalability is itself invalid.
The concept of scalability is itself invalid.
A good garbage collector frees up more memory so programs can transition effortlessly into other platforms.
A good garbage collector frees up more memory so programs can transition effortlessly into other platforms.
Responses
Memory management does not impact scalability.
Memory management does not impact scalability.
The “garbage collector” (or memory management) idea is not a valid concept.
The “garbage collector” (or memory management) idea is not a valid concept.
The concept of scalability is itself invalid.
The concept of scalability is itself invalid.
A good garbage collector frees up more memory so programs can transition effortlessly into other platforms.
A good garbage collector frees up more memory so programs can transition effortlessly into other platforms.
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Answered by
GPT-4o mini
None of the given responses accurately address how the concept of a garbage collector affects a program’s scalability. Here’s a more appropriate explanation:
The garbage collector can significantly impact scalability because it manages memory allocation and deallocation during program execution. An efficient garbage collector minimizes pauses during program execution, which is crucial for maintaining performance as the load increases. If a garbage collector introduces excessive overhead or long pause times due to memory reclamation processes, it could hinder the program's ability to scale effectively under increased load, leading to performance bottlenecks. Conversely, a well-optimized garbage collector can enhance scalability by ensuring that memory is managed efficiently, allowing the program to utilize resources more effectively as it grows.
The garbage collector can significantly impact scalability because it manages memory allocation and deallocation during program execution. An efficient garbage collector minimizes pauses during program execution, which is crucial for maintaining performance as the load increases. If a garbage collector introduces excessive overhead or long pause times due to memory reclamation processes, it could hinder the program's ability to scale effectively under increased load, leading to performance bottlenecks. Conversely, a well-optimized garbage collector can enhance scalability by ensuring that memory is managed efficiently, allowing the program to utilize resources more effectively as it grows.
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